Intelligent Traffic Signal Management with PLC

Author:

Dr. Ka. Suriyaprabha 1,Dr. S. Vadivazhagi 1,B. Sivasuriya 1,K. Sanjai 1,S. Devan 1,D. Devendiran 1

Affiliation:

1. A. V. C College of Engineering, Mayiladuthurai, India

Abstract

This study introduces a Smart Traffic Light Control System (STLCS) that uses advanced technologies to improve traffic regulation. The key components include a camera-based traffic density detection module and a specialized vehicle identification system using Radio Frequency (RF) technology. The system’s core is an Arduino Uno board along with several converters and a Programmable Logic Controller (PLC). Field tests show that STLCS effectively analyses traffic density and prioritizes emergency vehicles, proving its potential for global traffic management improvements

Publisher

Naksh Solutions

Reference10 articles.

1. [1]. Alice Martins, Carlos Rodrigues, Development of a smart traffic light control system using PLC with Real-Time Monitoring, IEEE Internet of Things Journal, Vol. 8, No.5, pp.3384 – 33, 2023.

2. [2]. Anava, Samuel Johnson, Real-Time Density Detection Using Deep Learning, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol .3, No.3, pp.103-107, 2019.

3. [3]. Arunagirinathan, R., & Arulselvan, A., PLC based traffic light control system, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol. 3, No.3, pp.103-107, 2015.

4. [4]. Bae, S., Park, J., Choi, J., & Lim, J., Energy-efficient traffic light control system using PLC-based LED traffic lights, International Journal of Intelligent Unmanned Systems, Vol.10, No.6, pp.803. https://doi.org/10.3390/en10060803, 2017.

5. [5]. Deng, W., Lei, H., & Zhou, X., Adaptive traffic signal control with deep reinforcement learning. Transportation Research Part C: Emerging Technologies, Vol. 3, No.31,pp.18,10, 2020.

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